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Astica AI Automation Guide

astica-ai-automation

ComposioHQ/awesome-claude-skills

Automate Astica AI workflows through Composio’s Rube MCP bridge by discovering tools with RUBE_SEARCH_TOOLS, managing Astica connections, and executing tasks via RUBE_MULTI_EXECUTE_TOOL while respecting dynamic schemas.

Castingwords Rube Workflow

castingwords-automation

ComposioHQ/awesome-claude-skills

Automates Castingwords tasks through Composio’s Rube MCP workflow: discover tooling via RUBE_SEARCH_TOOLS, ensure an active Castingwords connection, then execute schema-compliant operations and bulk jobs while respecting pagination and session reuse.

CLIP Vision-Language

Orchestra-Research/AI-Research-SKILLs

OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.

Cursor Context Optimization

cursor-context-management

jeremylongshore/claude-code-plugins-plus-skills

Guides Cursor IDE users through context window limits, targeted @-mentions, and conversation resets so AI assistants deliver accurate, fast responses without overflowing memory.

Automated Model Deployment

deploying-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Deploying Machine Learning Models automates serving trained models to production by analyzing requirements, generating API and infrastructure code, and orchestrating deployment workflows with validation, error handling, and monitoring baked in.

FastAPI ML Endpoint

fastapi-ml-endpoint

jeremylongshore/claude-code-plugins-plus-skills

Automates FastAPI ML endpoint deployments by guiding architecture, producing production-ready code, and validating serving configs when you invoke the ML deployment skill.

Multi-Agent Claude Orchestrator

jeremylongshore/claude-code-plugins-plus-skills

Gastown orchestrates parallel Claude Code agents, providing CLI tools to install, set up workspaces, track beads, manage agent lifecycles, recover from crashes, and merge outputs via the Refinery while reporting health and statuses.

Google Cloud Agent SDK

google-cloud-agent-sdk-master

jeremylongshore/claude-code-plugins-plus-skills

Master Google Cloud’s Agent Development Kit and Starter Pack to build containerized multi-agent systems, automate RAG workflows, and deploy production-ready agents via Cloud Run, GKE, Agent Engine, or CI/CD pipelines.

GPTQ LLM Quantization

Orchestra-Research/AI-Research-SKILLs

Post-training 4-bit quantization for LLMs that trims memory by 4× with minimal perplexity loss, enabling 70B+ models to run faster on consumer GPUs while integrating with transformers, PEFT, and QLoRA workflows.

Groq Reference Architecture

groq-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines best-practice Groq deployment with tiered model routing, middleware, streaming pipelines, and fallback chains for ultra-fast LLM inference and production monitoring when launching new Groq integrations.

Half Quadratic Quantization

hqq-quantization

Orchestra-Research/AI-Research-SKILLs

Calibrate-free half-quadratic quantization for LLMs that delivers 1-8 bit model compression with configurable backends (PyTorch, TorchAO, BitBlas, Marlin). Ideal for fast quantization workflows, zero-data deployment, and PEFT/LoRA fine-tuning with HuggingFace or vLLM stacks.

Hugging Face Jobs

hugging-face-jobs

sickn33/antigravity-awesome-skills

Schedule and run Python workloads on fully managed Hugging Face infrastructure, leveraging CPUs, GPUs, or TPUs for data processing, batch inference, experiments, or scheduled automation while persisting outputs to the Hub.

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